Domain of partial attraction for infinitely divisible distributions in a Hilbert space
J. Barańska (1973)
Colloquium Mathematicae
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Displaying similar documents to “On convergence of infinitely divisible distributions in a Hilbert space”
Domain of partial attraction for infinitely divisible distributions in a Hilbert space
Snakes and articulated arms in an Hilbert space
Fernand Pelletier, Rebhia Saffidine (2013)
Annales de la faculté des sciences de Toulouse Mathématiques
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The purpose of this paper is to give an illustration of results on integrability of distributions and orbits of vector fields on Banach manifolds obtained in [5] and [4]. Using arguments and results of these papers, in the context of a separable Hilbert space, we give a generalization of a Theorem of accessibility contained in [3] and [6] for articulated arms and snakes in a finite dimensional Hilbert space.
A characterization of the domain of attraction of a normal distribution in a Hilbert space
M. Kłosowska (1973)
Colloquium Mathematicae
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Nguyen Thi Thanh Hien, Le Van Thanh, Vo Thi Hong Van (2019)
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This paper introduces the notion of pairwise and coordinatewise negative dependence for random vectors in Hilbert spaces. Besides giving some classical inequalities, almost sure convergence and complete convergence theorems are established. Some limit theorems are extended to pairwise and coordinatewise negatively dependent random vectors taking values in Hilbert spaces. An illustrative example is also provided.
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Guessous, Mohamed (1997)
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B. Kopociński, E. Trybusiowa (1966)
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Matthev O. Ojo (2001)
Kragujevac Journal of Mathematics
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The domain of attraction of a normal distribution in a Hilbert space
M. Kłosowska (1972)
Studia Mathematica
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Some Properties of the Quasiasymptotic of Schwartz Distributions Part ii: Quasiasymptotic at 0
Stevan Pilipović (1988)
Publications de l'Institut Mathématique
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The elementary theory of distributions (II)
Jan Mikusiński, Roman Sikorski
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CONTENTS Introduction................................................................................... 3 § 1. Terminology and notation.................................................................................... 4 § 2. Uniform and almost uniform convergence....................................................... 6 § 3. Fundamental sequences of smooth functions............................................... 6 § 4. The definition of distributions................................................................................
The elementary theory of distributions (I)
Jan Mikusiński, Roman Sikorski
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CONTENTS Introduction........................................................................................................... 3 § 1. The abstraction principle............................................................................... 4 § 2. Fundamental sequences of continuous functions......................................... 5 § 3. The definition of distributions........................................................................ 9 § 4. Distributions as a generalization of...